How to load jar dependenices in IPython Notebook

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You can simply pass it in the PYSPARK_SUBMIT_ARGS variable. For example:

export PACKAGES="com.databricks:spark-csv_2.11:1.3.0"
export PYSPARK_SUBMIT_ARGS="--packages ${PACKAGES} pyspark-shell"

These property can be also set dynamically in your code before SparkContext / SparkSession and corresponding JVM have been started:

packages = "com.databricks:spark-csv_2.11:1.3.0"

os.environ["PYSPARK_SUBMIT_ARGS"] = (
    "--packages {0} pyspark-shell".format(packages)
)

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